Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores
Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores
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基于连接组的个体化智商和子领域分数预测中的性别差异。
DOI：
10.1093/cercor/bhz134
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发表时间：
2020-03-01
期刊：
影响因子：
3.7
通讯作者：
Sui, Jing
中科院分区：
文献类型：
--
作者：
Jiang, Rongtao;Calhoun, Vince D.;Sui, Jing
智力测试的分数可以很好地预测各种重要的生活结果。然而，使用脑成像变量预测智商（IQ）的性别差异尚未得到研究。为了这个目的，我们分别使用全脑功能连接（FC）预测男性和女性的个体智商分数。在三个独立的数据集（680名受试者）和两个智力测量（IQ和流体智力）中，使用每个性别的相同模型实现了对智力能力的稳健预测。有趣的是，我们发现男性和女性的智力是由不同的神经生物学相关因素支撑的，这与他们各自在认知领域（视觉空间与言语能力）的优势是一致的。此外，所确定的FC模式是唯一的预测智商及其子域分数只有在同一性别，但既不为异性也不对智商无关的措施，如气质特征。此外，在发现队列中，女性表现出比男性更高的智商可预测性。这一发现有助于我们理解智力的生物学基础，它表明智力是由各种复杂的神经机制支撑的，这些机制参与了一个相互作用的区域网络，特别是前额叶-顶叶和基底神经节，而网络模式在性别之间存在差异。
Scores on intelligence tests are strongly predictive of various important life outcomes. However, the gender discrepancy on intelligence quotient (IQ) prediction using brain imaging variables has not been studied. To this aim, we predicted individual IQ scores for males and females separately using whole-brain functional connectivity (FC). Robust predictions of intellectual capabilities were achieved across three independent data sets (680 subjects) and two intelligence measurements (IQ and fluid intelligence) using the same model within each gender. Interestingly, we found that intelligence of males and females were underpinned by different neurobiological correlates, which are consistent with their respective superiority in cognitive domains (visuospatial vs verbal ability). In addition, the identified FC patterns are uniquely predictive on IQ and its sub-domain scores only within the same gender but neither for the opposite gender nor on the IQ-irrelevant measures such as temperament traits. Moreover, females exhibit significantly higher IQ predictability than males in the discovery cohort. This findings facilitate our understanding of the biological basis of intelligence by demonstrating that intelligence is underpinned by a variety of complex neural mechanisms that engage an interacting network of regions-particularly prefrontal-parietal and basal ganglia-whereas the network pattern differs between genders.